Instructions to use SouhilOuchene/ACML_Part2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SouhilOuchene/ACML_Part2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SouhilOuchene/ACML_Part2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use SouhilOuchene/ACML_Part2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("SouhilOuchene/ACML_Part2") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SouhilOuchene/ACML_Part2: direct link, hf CLI and curl.
- Browser
- Download file 471 MB
-
https://huggingface.co/SouhilOuchene/ACML_Part2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SouhilOuchene/ACML_Part2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SouhilOuchene/ACML_Part2/resolve/main/pytorch_model.bin
471 MB
- Xet hash:
- 3e31a4018c4f8fee97779d83f774b9311a8716319a5fa7b181cc7b7a3e2fc214
- Size of remote file:
- 471 MB
- SHA256:
- 75fdce04d1f1b21c1543a7a9c46cfc9380ff632cc15c98b3cfa92222e7c6f7f1
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